Power Network Operation Systems Integration TRIZ Cases

A mobile communication system manages closed subscriber group cell access through tracking area updates and resource assignment signals.

A power distribution unit controller monitors phase currents and operates switch circuits to balance electrical loads across three-phase lines.

A battery charging system adjusts PWM switching frequency to regulate output voltage and current during multiple charging periods.

A sensor unit determines load positions to automate address assignment, eliminating manual commissioning steps and reducing startup time.

A computer-based system optimizes node device operating parameters to enhance energy delivery efficiency.

Auxiliary power unit prevents cross current by detecting power flow direction and adjusting charge start voltage thresholds to utilize regenerative energy.

Ce3+ mediates energy transfer from ultraviolet excitation to lanthanide activators, enabling tunable multicolor emission without multiple light sources.

BIOS staggers connector initialization times to delay power-on sequences, reducing instantaneous current peaks that damage HDD components.

Local control units modulate circuit voltage using AC-AC buck converters, resolving the contradiction between precise load control and continuous power supply.

Auxiliary current path supplies loads during low-power modes while consuming less quiescent power than main paths.

Modifying feedback signals lowers bus voltage in a two-stage LED driver, eliminating unintended glowing and reducing standby power consumption.

A power supply module assigns logical addresses to connected appliances by detecting internal resistance changes during plugging.

A powered device controller measures bulk capacitor voltage to manage current draw from the power supply.

Controller adjusts energy storage consumption via utility commands to stabilize grid operations against variable renewable generation.

A feeder reconfiguration system optimizes sectionalizing switch states to transfer electrical load between transformers and feeders.

A software-controlled power switch matrix dynamically adjusts phase coupling to balance electrical loads across multiple distribution units.

A control unit manages electrical generation and consumption systems through real-time modulation orders.

A control device analyzes requesting signals against available cable power capacity to generate instructing signals for load gates.

Current detection units trigger the control unit to distribute backup power to multiple faulty devices simultaneously, resolving N:1 system limitations.

A domestic appliance detects AC supply voltage frequency to analyze network load status and adjust power consumption autonomously.

A detection system uses user feedback to update dynamic power consumption signatures for accurate appliance identification.

A home energy manager determines remaining appliance cycle time and transmits an alert to a remote device.

A doorbell system uses a camera to visually detect visitors and transmits alerts to remote devices.

A load control method sorts discrete energy blocks by cost to determine actuation timing.

A UPS controller switches between online and standby modes based on input voltage magnitude to optimize power density.

Variable shunt reactors compensate for line capacitance, eliminating intermediate transformers and reducing infrastructure costs.

A multi-port hub controller routes power from AC sources or electronic devices to portable gadgets while managing data links.

A compliance verification system samples consumer power consumption patterns using dedicated meters to detect prohibited high-power loads during peak periods.

A phase balancing device synchronizes inverter output voltage to transfer single-phase loads between polyphase network phases.

An aggregator system allocates demand modifications across multiple utility units.

An ultrasonic receiver triggers a relay to disconnect mains power, enabling remote device control without continuous electrical supply.

A network energy management component shifts device operations to low-price periods using dynamic scheduling algorithms.

A power-source power factor control system dynamically adjusts load operation states using variable target values to optimize electrical performance.

A computational device adjusts power consumption by analyzing real-time environmental energy data.

A power supply control apparatus adjusts switch capacity via network instructions to manage cabinet power distribution.

Transformer tap selection stabilizes output voltage while reducing energy consumption from network variations.

Incidence matrix matching automates extraction of customized skeleton topology structures, reducing manual labor costs and maintenance time.

Real-time load shifting via switchable subscribers maintains grid stability without redundant infrastructure expansion.

A PCIe backup power module charges during normal operation and discharges to memory slots.

A gateway device generates optimized operation schedules for heterogeneous network appliances based on energy consumption and priority values.

Distributed peer-to-peer nodes detect and register controllable devices autonomously, eliminating central server vulnerabilities and reducing security costs.

Isolating demand-responsive loads increases restoration area capacity, enabling power transfer during faults.

A battery management system isolates the charge discharge field effect transistor to reduce power consumption from the battery.

A lighting network control system adjusts light operation strategies based on real-time energy supply and demand data.

A subsea temporary load device uses thyristors to rapidly connect and disconnect, controlling current flow.

A method determines energy distribution to electrical loads using a temporal criterion based on signal length and power.

Segmenting power transmission paths allows a controller to route external power directly to load devices, bypassing battery charging delays during startup.

Segmenting device groups with staggered shutdowns reduces peak demand variability while maintaining user convenience during high load periods.